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Selected Readings in Vision and Graphics
edited by Luc Van Gool, Gábor Székely, Markus Gross, Bernt Schiele
Mosaicing of Endoscopic
2011. XII, 170 pages. EUR 64,00.
The most effective therapy for the twin-to-twin transfusion syndrome (TTTS) in monochorionic twin gestations is the fetoscopic laser coagulation of the placental vascular anastomoses between the two fetal circulations. A complete closure of all anastomoses is a prerequisite for the success of the therapy, but the small field of view of the fetoscope makes it difficult for the surgeon to properly locate all the anastomoses. This problem can be overcome by automatically creating a mosaic of the region of interest on the placental surface from a sequence of fetoscopic images. This map can then be used to locate all the anastomoses and for spatial orientation during surgery.
This dissertation presents a novel endoscopic image mosaicing method, which allows for a better visualization of the placental surface. To remove the lens distortions, we first propose a reliable, fast and automatic method to calibrate endoscopes in different media. It can be used within the operating room.
Then, we present a feature-based and a complementary intensity-based method to automatically match the fetoscopic images pairwise, despite poor image quality and vignetting artifacts. For both methods, novel approaches to eliminate mismatches are described.
Finally, we present the actual image mosaicing framework and evaluate it on fetoscopic images of the entire surface of an ex-vivo placenta, taken under conditions simulating surgery and with an arbitrary camera motion. An efficient scheme to improve the accuracy of the mosaic is proposed. Lastly, we demonstrate that a multi-band blending method seamlessly fuses the arbitrarily overlapping images into a single mosaic image.
Abotu the Author:
Mireille Reeff received her Engineering degree in Communication Systems in 2002 from Ecole Polytechnique Fédérale de Lausanne, Switzerland. During her studies she spent one year on exchange at McGill University in Montreal, Canada and one year at Eurecom Institute in Sophia-Antipolis, France. She performed her diploma thesis in the Information Systems Laboratory at Stanford University, USA, where she focused on image compression and classification. During her doctoral studies she worked at the Computer Vision Laboratory of ETH Zurich as a research assistant in the field of endoscopic image mosaicing. She received the Third Poster Award from the Swiss Society for Gynaecology and Obstetrics in 2006. She was awarded the Ph.D. degree (Doctor of Sciences) from ETH Zurich in 2010.
Keywords: image mosaicing, endoscopy, TTTS, image registration, endoscope calibration, feature-based matching, intensity-based matching, blending, mismatch detection
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